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서해 곰소만에 출현하는 동물플랑크톤 군집의 시 · 공간적 변동 특성 KCI 등재

Characteristics of temporal-spatial variations of zooplankton community in Gomso Bay in the Yellow Sea, South Korea

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  • URLhttps://db.koreascholar.com/Article/Detail/429122
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한국환경생물학회 (Korean Society Of Environmental Biology)
초록

To understand the spatiotemporal distribution pattern of zooplankton and the environmental factors influencing zooplankton abundance in Gomso Bay, major harvesting area of Manila clam (Venerupis philippinarum) in South Korea, zooplankton sampling was conducted four times in autumn (October 2022), winter (January 2023), early spring (March 2023), and spring (May 2023). Among the environmental factors of Gomso Bay, water temperature, chlorophyll a concentration (Chl-a), dissolved oxygen (DO), and pH observed different patterns, while salinity and suspended particulate matter (SPM) showed no significant statistical differences between the survey periods. The zooplankton in Gomso Bay occurred 33, 29, 27, and 29 taxonomic groups during each respective survey period. In October 2022 and May 2023, arthropod plankton were dominated, while in January and March 2023, protozoa were primarily dominant. Among the Arthropods, copepods including Acartia hongi, Paracalanus parvus s. l., Corycaeus spp., and Oithona spp. commonly found along Korean coastal areas of the Yellow Sea, were dominated. Cluster analysis based on zooplankton abundance indicated a single community (stable condition) in each season, attributed to low dissimilarity distances, while three distinct clusters (autumn, winter-early spring, spring) between seasons indicated a highly seasonal environment in Gomso Bay.

목차
1. 서 론
2. 재료 및 방법
    2.1. 해양환경 및 동물플랑크톤 조사
    2.2. 자료 분석
3. 결 과
    3.1. 환경요인 (수온, 염분, Chl-a, SPM, DO, pH)
    3.2. 동물플랑크톤 출현 분류군 수
    3.3. 동물플랑크톤 출현 개체수 및 우점 요각류출현 양상
    3.4. 집괴분석
    3.5. 계절별 주요 동물플랑크톤 출현 양상에 미치는환경요인
4. 고 찰
5. 결 론
적 요
CRediT authorship contribution statement
Declaration of Competing Interest
사 사
REFERENCES
저자
  • 정영석(전남대학교 환경해양학과) | Young Seok Jeong (Department of Environmental Oceanography, Chonnam National University, Yeosu 59626, Republic of Korea)
  • 서민호(㈜바다생태연구소) | Min Ho Seo (Marine Ecology Research Center, Yeosu 59697, Republic of Korea)
  • 최서열(전남대학교 ICT수산자원관리연구소) | Seo Yeol Choi (Fishery Resource Management Research Institute Based on ICT, Chonnam National University, Yeosu 59626, Republic of Korea)
  • 추서휘(전남대학교 빅데이터수산자원관리협동과정) | Seohwi Choo (Interdisciplinary Program of Bigdata Fishery Resources Management, Graduate School, Chonnam National University, Yeosu 59626, Republic of Korea)
  • 김동영(㈜바다생태연구소) | Dong Young Kim (Marine Ecology Research Center, Yeosu 59697, Republic of Korea)
  • 이성훈(전남대학교 수산해양산업관광레저융합학과,) | Sung-Hun Lee (Department of Fishery, Marine, Industry, Tourism, and Leisure, Chonnam National University, Yeosu 59626, Republic of Korea)
  • 서호영(전남대학교 환경해양학과, 전남대학교 ICT수산자원관리연구소, 전남대학교 빅데이터수산자원관리협동과정, 전남대학교 해 양융합과학과) | Ho Young Soh (Department of Environmental Oceanography, Chonnam National University, Yeosu 59626, Republic of Korea, Fishery Resource Management Research Institute Based on ICT, Chonnam National University, Yeosu 59626, Republic of Korea, Interdisciplinary Program of Bigdata Fishery Resources Management, Graduate School, Chonnam National University, Yeosu 59626, Republic of Korea, Department of Ocean Integrated Science, Chonnam National University, Yeosu 59626, Republic of Korea) corresponding author